At Hazelcast we build open-source software for building distributed systems and data-intensive applications. Here we share some of the stuff we are currently building and anything else that we find interesting.
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Learn how to set up a Hazelcast cluster on AWS Auto Scaling group.
Today, we’re happy to announce the preview version of quarkus-hazelcast-client is publicly available and accessible via quarkus-platform and code.quarkus.io. Quarkus is a modern Kubernetes-native application framework leveraging Docker and GraalVM which allows it to achieve impressive performance and resource utilization while maintaining portability. Quarkus Hazelcast Client extension makes it convenient to configure Hazelcast Client and […]
This post was written by Hazelcast software engineer Marko Topolnik and posted at https://jet-start.sh/blog/2020/06/09/jdk-gc-benchmarks-part1. The Java runtime has been evolving more rapidly in recent years and, after 15 years, we finally got a new default garbage collector: the G1. Two more GCs are on their way to production and are available as experimental features: Oracle’s […]
This blog shows you how you can install Hazelcast on Azure Kubernetes Service (AKS) and connect to the cluster using an Hazelcast client. It assumes some familiarity with Kubernetes , Azure and Azure Cloud shell. The goal of this blog is to keep things simple and show you the steps to get up and running […]
“How Jet compares to Spark” and “why should I choose Jet over Spark” are arguably the most frequent questions I’ve been asked during the talks and workshops. While it is hard to assess the product fit without focusing on a concrete use-case, I’d still like to compare concepts and architecture used under the hood of […]
We are happy to present the new release of Hazelcast Jet 4.1. Here’s a quick overview of the new features. Extended gRPC Support We’ve applied the lessons learned from the Jet-Python integration and made it easier to integrate a Jet pipeline with gRPC services. The utility class GrpcServices introduces two new ServiceFactorys you can use with the mapUsingServiceAsync transform. Using this feature […]
Why? Our blog already contains numerous articles about running Hazelcast in containers, but they mainly focus on orchestrated platforms (Kubernetes, ECS, GCP, …). According to a 2018 Docker adoption report, half of the deployments did run in non-orchestrated environments 2 years ago. I didn’t find a similar report from 2020, but I expect the proportion […]
Once one starts their journey in data streaming, one starts to discover a lot of applications beyond just the standard Extract-Transform-Load pattern. The traditional model to deliver a new version of a Java application is to stop the process, deploy the new JAR/WAR, and start the process again. This directly results in downtime: in this […]
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